gotta figure out summaryinfo, maybe change the five summary informations into individual variables
paragraph to include summary info in
table: You must also describe why you included the table, and what information it reveals.
main question:
chart 3 ordering suppos to be lowest to highest
for each chart: Again, in your report you must describe why you included the chart (e.g., what it attempts to seeks to express), and what information it reveals. For each chart, we expect the following:
We are interested in the topic of global economy because by analyzing global economic data, we will be able to better understand the complexities of global activity. Since the economy is something that affects everyone at all stages of their life, we felt that analyzing this topic would be beneficial for learning how the economy is changing, and why these changes are happening. We chose to analyze how (main questions asked here). The dataset we used to answer our questions was data published by World Bank and compiled from officially-recognized international resources. We then filtered the dataset to only include factors of interest.
While analyzing our data, we found some noteworthy observations, especially in regards to. will add on
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
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## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding factor and character vector, coercing
## into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing
## into character vector
| country | Average_Income | Average_Population | Average_Primary_Students | Average_Secondary_Students | Average_Female_Employment | Average_Male_Employment | Average_CO2_Emissions |
|---|---|---|---|---|---|---|---|
| Full country name | Current USD | Number of people | Number of students in primary education | Number of students in secondary education | Employment to population ratio, female of age 15+ | Employment to population ratio, male of age 15+ | Metric tons per capita |
| United States | 35443.5933703704 | 292988563.214286 | 24866699.095 | 24535708.67 | 54.2597583896552 | 67.4916206875862 | 18.7668335441667 |
| United Kingdom | 29695.8097414815 | 81783471.9285714 | 3336440.18518519 | 7863858.418 | 51.4568619565517 | 64.4875519844828 | 8.67450474866667 |
| Germany | 29173.8250740741 | 145312593.321429 | 6300313.32 | 12202867 | 47.3552072465517 | 62.7525517689655 | 10.007736653 |
| Australia | 27952.0206874074 | 25847180.1071429 | 3395859.375 | 2008642.22727273 | 52.861827587931 | 67.5584138013793 | 16.7741631741667 |
| France | 27597.0210725926 | 62862997.5714286 | 4064026.25925926 | 5898663.7037037 | 44.0714482268965 | 56.6534483024138 | 5.815734405375 |
| Canada | 27452.9253477778 | 105758229.821429 | 14650170.9259259 | 10134869.7407407 | 55.5336548368966 | 65.9722758324138 | 16.255029285 |
| New Zealand | 20587.8960228889 | 6534456.92857143 | 593517.888888889 | 174507 | 55.6787238282759 | 69.6753795224138 | 7.85257380008333 |
| Trinidad and Tobago | 8162.042121 | 1301275.71428571 | 162431.842105263 | 100239 | 47.0640348241379 | 72.3941726682759 | 24.4207555791667 |
| Argentina | 7299.09001014815 | 41971420.7857143 | 4879024.19230769 | 4115215.44 | 42.7301722558621 | 67.1047936810345 | 4.05062890175 |
| Mexico | 6071.7346497037 | 60987038.4642857 | 4566309.40909091 | 5370440.657 | 38.8386208103448 | 78.4519997955172 | 4.08559662541667 |
| Venezuela, RB | 5939.62003491667 | 27437690.5 | 3925834.64285714 | 2379958.96428571 | 42.8274140193103 | 71.3716901575862 | 6.34894336545833 |
| Turkey | 5775.81202655556 | 67704438.5 | 6388259.08 | 7021971.2 | 25.8247240003448 | 66.1830343051724 | 3.503067205375 |
| Brazil | 5519.66987874074 | 7350192.75 | 1141636.08 | 555996.461538462 | 45.4544138406897 | 72.4491379841379 | 1.88771675908333 |
| Russian Federation | 5212.6710262 | 470543.357142857 | 79373.9545454545 | 21009.1428571429 | 51.1679658562069 | 64.6710343193104 | 11.4839522378261 |
| South Africa | 3889.72430459259 | 47799352.25 | 7450077.66666667 | 4543342.9047619 | 30.7891380703448 | 48.9859999296552 | 8.79587839325 |
| Dominican Republic | 3575.48389488889 | 9003738.71428571 | 1256906.33333333 | 805466.45 | 38.1561722596552 | 73.9891725737931 | 2.08636407683333 |
| Cuba | 3456.1048162 | 11136884.8571429 | 903673.25 | 830083.62962963 | 36.7899310672414 | 65.2815518875862 | 2.6214346615 |
| Colombia | 3335.76092696296 | 183216830.035714 | 18245755.173913 | 24094869.0666667 | 46.3114483275862 | 74.8088962951724 | 1.60712000575 |
| Jamaica | 3314.571193 | 2713364.35714286 | 300872.380952381 | 236080.05 | 48.0172069158621 | 67.3635866889655 | 3.43782031816667 |
| Peru | 2943.42244925926 | 38714254.8214286 | 4919608.25 | 3794783.70833333 | 59.3028618386207 | 78.5110689351724 | 1.29846037733333 |
| Fiji | 2937.20800766667 | 4106439.28571429 | 350967.296296296 | 467328.487874074 | 37.0551034331034 | 75.5377931262069 | 1.16624691070833 |
| China | 2317.49492967778 | 1289438392.85714 | 112416740.681818 | 82276024.64 | 65.0590337555172 | 77.0650345365517 | 4.25750755808333 |
| Guatemala | 1980.97117617037 | 32274739.8214286 | 2318994.34782609 | 2568202.95454545 | 39.1888964431034 | 83.4268275289655 | 0.802869573375 |
| Egypt, Arab Rep. | 1567.29896805926 | 75884896.9285714 | 9185029.68 | 7402791.81818182 | 16.5156552868966 | 67.9244487365517 | 2.00329672666667 |
| Indonesia | 1399.77769218148 | 225523340.857143 | 29538986.7857143 | 17236218.0714286 | 46.7152069355172 | 78.8442411751724 | 1.506025673125 |
| Honduras | 1283.94670935185 | 13097557.3214286 | 2083115.22222222 | 775975.961538462 | 42.4835518148276 | 83.1546546672414 | 0.853342292541667 |
| Nigeria | 1115.31100466296 | 140709456.607143 | 20149234.2608696 | 7699497.64705882 | 51.2226896610345 | 60.7360688562069 | 0.545409081 |
| Papua New Guinea | 983.382141114815 | 20615710.8571429 | 1933546 | 2360635.625 | 57.699586407931 | 58.9785169406897 | 0.58609814725 |
| Solomon Islands | 885.392906118519 | 822878.571428571 | 111972.181818182 | 97326.8 | 80.9178282644828 | 83.7860691455172 | 0.375734327041667 |
| Pakistan | 741.757267003704 | 159446862 | 17951283.2631579 | 9297347.66666667 | 18.0434483496552 | 81.0362072648276 | 0.790770380416667 |
| India | 741.168353740741 | 1132564205.85714 | 123750290.958333 | 94937446.28 | 26.0148621917241 | 76.8905173989655 | 1.10151404641667 |
| Bangladesh | 608.54765687037 | 135813155 | 16630850.625 | 11708118.25 | 27.4166896424138 | 82.1145864027586 | 0.280639762375 |
| Haiti | 514.402058251852 | 9137952.46428571 | 1203846.42857143 | NaN | 51.0486551489655 | 64.924344952069 | 0.184700951291667 |
| Ethiopia | 213.765425175556 | 76844164.2142857 | 8298188.41666667 | 2349818.14285714 | 69.1881719127586 | 87.0633444944828 | 0.0680737755416667 |
| Congo, Dem. Rep. | 205.667087147083 | 56420915.25 | 8313774.58823529 | 2975326.69230769 | 65.1650685293103 | 67.4212070337931 | 0.0390856565833333 |